| Country | agricultural_land_p_2016 | forest_area_p_2015 | population_growth_p_2015 |
|---|---|---|---|
| Georgia | 34.45100 | 40.61591 | 0.1574814 |
| Pacific island small states | 13.43769 | 61.56636 | 1.3132995 |
| Nauru | 20.00000 | 0.00000 | 5.1145642 |
| Indonesia | 31.46442 | 50.23819 | 1.2674656 |
| Cyprus | 12.15693 | 18.69048 | 0.7521855 |
| Country | aded_val_GDP_2015 | perm_cropLand_p_2015 |
|---|---|---|
| Georgia | 7.813762 | 1.582962 |
| Pacific island small states | 11.906936 | 5.961059 |
| Nauru | 4.196069 | 20.000000 |
| Indonesia | 13.492644 | 12.420166 |
| Cyprus | 1.874272 | 2.857143 |
| n | min | median | mean | max | sd |
|---|---|---|---|---|---|
| 225 | 0.5576923 | 39.275 | 38.90696 | 82.55971 | 19.67133 |
Figure 1. Distribution for the percent of agricultural land in different countries, in 2016
Figure 4. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against their 2015 Permanent Crop Land (% of land area). The red line is the best fit line. The blue curve is the Loess curve.
Figure 5. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against their percent of forest area, in 2015. The red line is the best fit line. The blue curve is the Loess curve.
Figure 8. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against their percent annual population growth in 2015. The red line is the best fit line. The blue curve is the Loess curve.
Figure 9. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against the % added value of Agriculture, forestry, and fishing to their GDP in 2015. The red line is the best fit line. The blue curve is the Loess curve.
The model is:
## lm(formula = agricultural_land_p_2016 ~ perm_cropLand_p_2015 +
## ns(population_growth_p_2015, df = 4) + ns(forest_area_p_2015,
## df = 4) + ns(aded_val_GDP_2015, df = 4), data = tidy_joined_dataset)
Figure 10. Normal Q-Qplot for the percent of agricultural land in different countries, in 2016
| GVIF | Df | GVIF^(1/(2*Df)) | |
|---|---|---|---|
| perm_cropLand_p_2015 | 1.124085 | 1 | 1.060229 |
| ns(population_growth_p_2015, df = 4) | 2.421891 | 4 | 1.116913 |
| ns(forest_area_p_2015, df = 4) | 1.490688 | 4 | 1.051171 |
| ns(aded_val_GDP_2015, df = 4) | 2.007460 | 4 | 1.091015 |
## lm(formula = agricultural_land_p_2016 ~ perm_cropLand_p_2015 +
## ns(population_growth_p_2015, df = 4) + ns(forest_area_p_2015,
## df = 4) + ns(aded_val_GDP_2015, df = 4), data = tidy_joined_dataset)
| Estimate | Std. Error | t value | Pr(>|t|) | |
|---|---|---|---|---|
| (Intercept) | 24.1215 | 10.3841 | 2.3229 | 0.0211 |
| perm_cropLand_p_2015 | 0.4914 | 0.1434 | 3.4269 | 0.0007 |
| ns(population_growth_p_2015, df = 4)1 | -9.6982 | 8.5759 | -1.1309 | 0.2594 |
| ns(population_growth_p_2015, df = 4)2 | 10.3611 | 7.9389 | 1.3051 | 0.1933 |
| ns(population_growth_p_2015, df = 4)3 | -20.9933 | 19.8490 | -1.0576 | 0.2914 |
| ns(population_growth_p_2015, df = 4)4 | -42.8759 | 11.5787 | -3.7030 | 0.0003 |
| ns(forest_area_p_2015, df = 4)1 | -0.5732 | 4.3938 | -0.1305 | 0.8963 |
| ns(forest_area_p_2015, df = 4)2 | -19.1007 | 5.0858 | -3.7557 | 0.0002 |
| ns(forest_area_p_2015, df = 4)3 | 2.6878 | 9.8495 | 0.2729 | 0.7852 |
| ns(forest_area_p_2015, df = 4)4 | -49.7971 | 7.6792 | -6.4847 | 0.0000 |
| ns(aded_val_GDP_2015, df = 4)1 | 15.5354 | 4.4557 | 3.4866 | 0.0006 |
| ns(aded_val_GDP_2015, df = 4)2 | 7.3391 | 6.7614 | 1.0854 | 0.2790 |
| ns(aded_val_GDP_2015, df = 4)3 | 42.0494 | 10.6767 | 3.9384 | 0.0001 |
| ns(aded_val_GDP_2015, df = 4)4 | 13.8894 | 11.0561 | 1.2563 | 0.2104 |
| Value | df | |
|---|---|---|
| Residual Standard Error | 14.926 | 211 |
| Multiple R-squared | 0.458 | |
| Adjusted R-squared | 0.424 |
| Value | Numerator df | Denominator df | |
|---|---|---|---|
| Model F-statistic | 13.7 | 13 | 211 |
| P-value | 7.366e-22 |
| Sum Sq | Df | F value | Pr(>F) | |
|---|---|---|---|---|
| perm_cropLand_p_2015 | 2616.434 | 1 | 11.7435 | 0.0007 |
| ns(population_growth_p_2015, df = 4) | 3295.916 | 4 | 3.6983 | 0.0062 |
| ns(forest_area_p_2015, df = 4) | 27741.579 | 4 | 31.1287 | 0.0000 |
| ns(aded_val_GDP_2015, df = 4) | 4420.418 | 4 | 4.9601 | 0.0008 |
| Residuals | 47010.294 | 211 | NA | NA |
Figure 13. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against their 2015 Permanent Crop Land (% of land area), where the forest area percentage of a country’s land in 2015 euqals its median = 31.88387, for a median percent population growth in a country in 2015 = 1.256186, and for a median % added value of agriculture, forestry, and fishing to the GDP of a country = 7.408892. The blue line is the linear curve, with its associated 95% CI and wider pink 95% PI.
Figure 14. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against their percent annual population growth in 2015, where the forest area percentage of a country’s land in 2015 euqals its median = 31.88387, for a median % added value of agriculture, forestry, and fishing to the GDP of a country = 7.408892, and for a median percent of permanent crop land of a country’s land area = 1.311853. The blue line is the natural spline, with its associated 95% CI and wider pink 95% PI.
Figure 15. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against their percent of forest area, in 2015, for a median percent population growth in a country in 2015 = 1.256186, for a median % added value of agriculture, forestry, and fishing to the GDP of a country = 7.408892, and for a median percent of permanent crop land of a country’s land area = 1.311853. The blue line is the natural spline, with its associated 95% CI and wider pink 95% PI.
Figure 16. Interactive Scatterplot for the percent of agricultural land in different countries, in 2016 against the % added value of Agriculture, forestry, and fishing to their GDP in 2015, where the forest area percentage of a country’s land in 2015 euqals its median = 31.88387, for a median percent population growth in a country in 2015 = 1.256186, and for a median percent of permanent crop land of a country’s land area = 1.311853. The blue line is the natural spline, with its associated 95% CI and wider pink 95% PI.